An autonomous vehicle simulation study : the misunderstood impact of a night driving environment on takeover performance

Recent studies that have examined the takeover process for autonomous vehicles relied on the theory of situational awareness as the foundation for driving performance. However, when thoroughly examined, situational awareness is found to work in a system of processes which is influenced by both the d...

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Main Author: Lee, Lennell
Other Authors: Xu Hong
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/138212
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1382122020-04-29T03:39:35Z An autonomous vehicle simulation study : the misunderstood impact of a night driving environment on takeover performance Lee, Lennell Xu Hong School of Social Sciences xuhong@ntu.edu.sg Social sciences::Psychology::Applied psychology Recent studies that have examined the takeover process for autonomous vehicles relied on the theory of situational awareness as the foundation for driving performance. However, when thoroughly examined, situational awareness is found to work in a system of processes which is influenced by both the driver and the surrounding environment in context to driving. As previous studies have found the night driving environment to decrease driving performance in manual driving, the present study aims to examine such effects on the takeover process in an automated vehicle. Additionally, this study also considered the influence of different hazard types on takeover performance. The measures of driving performance examined include the mean takeover time, collision rate and takeover quality. A total of 32 participants (22 men, 11 women) completed the study. The participants went through a total of seven driving trials, of which consisted of three practice trials and four test trials. All participants were engaged with a media tablet before the takeover process. Their takeover performance was recorded with the UC-win/Road software with a precision of 0.1 seconds. Results indicate that, in the night driving environment, participants show a significantly higher mean takeover time and higher collision rate as compared to the day driving condition. Moreover, results also show that when facing a person hazard, participants had a significantly higher collision rate and different takeover quality as compared to facing a car hazard. This suggested that drivers showed worse takeover performance in the night driving environment or when facing person hazards. Bachelor of Arts in Psychology 2020-04-29T03:39:35Z 2020-04-29T03:39:35Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/138212 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Social sciences::Psychology::Applied psychology
spellingShingle Social sciences::Psychology::Applied psychology
Lee, Lennell
An autonomous vehicle simulation study : the misunderstood impact of a night driving environment on takeover performance
description Recent studies that have examined the takeover process for autonomous vehicles relied on the theory of situational awareness as the foundation for driving performance. However, when thoroughly examined, situational awareness is found to work in a system of processes which is influenced by both the driver and the surrounding environment in context to driving. As previous studies have found the night driving environment to decrease driving performance in manual driving, the present study aims to examine such effects on the takeover process in an automated vehicle. Additionally, this study also considered the influence of different hazard types on takeover performance. The measures of driving performance examined include the mean takeover time, collision rate and takeover quality. A total of 32 participants (22 men, 11 women) completed the study. The participants went through a total of seven driving trials, of which consisted of three practice trials and four test trials. All participants were engaged with a media tablet before the takeover process. Their takeover performance was recorded with the UC-win/Road software with a precision of 0.1 seconds. Results indicate that, in the night driving environment, participants show a significantly higher mean takeover time and higher collision rate as compared to the day driving condition. Moreover, results also show that when facing a person hazard, participants had a significantly higher collision rate and different takeover quality as compared to facing a car hazard. This suggested that drivers showed worse takeover performance in the night driving environment or when facing person hazards.
author2 Xu Hong
author_facet Xu Hong
Lee, Lennell
format Final Year Project
author Lee, Lennell
author_sort Lee, Lennell
title An autonomous vehicle simulation study : the misunderstood impact of a night driving environment on takeover performance
title_short An autonomous vehicle simulation study : the misunderstood impact of a night driving environment on takeover performance
title_full An autonomous vehicle simulation study : the misunderstood impact of a night driving environment on takeover performance
title_fullStr An autonomous vehicle simulation study : the misunderstood impact of a night driving environment on takeover performance
title_full_unstemmed An autonomous vehicle simulation study : the misunderstood impact of a night driving environment on takeover performance
title_sort autonomous vehicle simulation study : the misunderstood impact of a night driving environment on takeover performance
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/138212
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